Alisa Surkis

21 papers and 363 indexed citations i.

About

Alisa Surkis is a scholar working on Information Systems, Management Science and Operations Research and Information Systems and Management. According to data from OpenAlex, Alisa Surkis has authored 21 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Management Science and Operations Research and 7 papers in Information Systems and Management. Recurrent topics in Alisa Surkis’s work include Data Quality and Management (8 papers), Research Data Management Practices (8 papers) and Scientific Computing and Data Management (5 papers). Alisa Surkis is often cited by papers focused on Data Quality and Management (8 papers), Research Data Management Practices (8 papers) and Scientific Computing and Data Management (5 papers). Alisa Surkis collaborates with scholars based in United States and Ghana. Alisa Surkis's co-authors include Kevin Read, Christopher S. Leonard, Richard Cooper, Joyce Gyamfi, Gbenga Ogedegbe, Juliet Iwelunmor, Collins O. Airhihenbuwa, Diana Margot Rosenthal, Jacob Plange‐Rhule and Charles S. Peskin and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Alisa Surkis i

Fields of papers citing papers by Alisa Surkis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alisa Surkis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alisa Surkis. The network helps show where Alisa Surkis may publish in the future.

Countries citing papers authored by Alisa Surkis

Since Specialization
Citations

This map shows the geographic impact of Alisa Surkis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alisa Surkis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alisa Surkis more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025