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The article highlights the problem of writing for publication research purposes and its impact on a beginning scientist's identity. The author points out two aspects of research writing and publication in international indexed journals. The first aspect is the developed skills of academic writing in English. The second aspect is the knowledge of research methodology and scientific publication design. The paper views the use of the two mentioned skillsets through the lens of English for Scientific Research module. During the module, the doctorate students of Northern (Arctic) Federal University were offered a survey consisting of three blocks of questions. The students' answers were further developed through Socratic questioning technique in order to investigate the students' identity formation. The findings reveal a severe lack of confidence among beginning scientists in relation to the research publication process, particularly to the methodology of research. The author concludes that the challenges of the research publication process impact the identity of a junior scientist in a negative key. The study demonstrates that beginning writing scientists need a thought-through professional assistance in the area of publication research, especially research methodology so that they could build a strong identity, necessary for their development in the international scientific community.

We study the citation network of scientific articles in the hypothesis that the likelihood of connecting to a node depends on the node's degree, a mechanism called the preferential attachment. We show that the rate at which articles acquire citations linearly depends on the number of citations already received and we find the functional form of the dependence basing on the analysis of the dynamic source data. We also investigate the effect of the article age on receiving citations and show that there is the exponential decay of interest to old articles. Nevertheless the distribution of citations has the power-law form.

An ever-increasing share of human interaction, communication, and culture is recorded as digital text. We provide an introduction to the use of text as an input to economic research. We discuss the features that make text different from other forms of data, offer a practical overview of relevant statistical methods, and survey a variety of applications.

This paper examines the relationship between placement of publications in top five (T5) journals and receipt of tenure in academic economics departments. Analyzing the job histories of tenure-track economists hired by the top 35 US economics departments, we find that T5 publications have a powerful influence on tenure decisions and rates of transition to tenure. A survey of the perceptions of young economists supports the formal statistical analysis. Pursuit of T5 publications has become the obsession of the next generation of economists. However, the T5 screen is far from reliable. A substantial share of influential publications appear in non-T5 outlets. Reliance on the T5 to screen talent incentivizes careerism over creativity.

Some empirical results are more likely to be published than others. Selective publication leads to biased estimates and distorted inference. We propose two approaches for identifying the conditional probability of publication as a function of a study’s results, the first based on systematic replication studies and the second on meta-studies. For known conditional publication probabilities, we propose bias-corrected estimators and confidence sets. We apply our methods to recent replication studies in experimental economics and psychology, and to a meta-study on the effect of the minimum wage. When replication and meta-study data are available, we find similar results from both.

The number of citations per publication is an established metric to evaluate scientists’ research impact. Therefore, it is important for scientists to learn how to potentially increase their publications’ citations. This study investigates whether and how the authorship composition regarding research impact, gender diversity, and cultural diversity affect citations of sports economics publications. Data of all sports economics publications in the International Journal of Sport Finance, Journal of Sports Economics, Contemporary Economic Policy, and Economic Inquiry (n = 926; 2006‒2020) and their corresponding citations were collected until January 2023. Results of log-linear regressions show an inverse U-shaped effect of the mean h-index and mean citations of coauthors on a publication’s citations. The higher the gender and cultural diversity among coauthors, the more citations per publication. These findings suggest that authorship team composition matters and increasing gender and cultural diversity among coauthors can benefit sports economics researchers’ citations.