Alan S. Levitan

27 total papers · 474 total citations
19 papers, 356 citations indexed

About

Alan S. Levitan is a scholar working on Artificial Intelligence, Management Information Systems and Accounting. According to data from OpenAlex, Alan S. Levitan has authored 19 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Management Information Systems and 4 papers in Accounting. Recurrent topics in Alan S. Levitan's work include Neural Networks and Applications (5 papers), Business Process Modeling and Analysis (4 papers) and Auditing, Earnings Management, Governance (3 papers). Alan S. Levitan is often cited by papers focused on Neural Networks and Applications (5 papers), Business Process Modeling and Analysis (4 papers) and Auditing, Earnings Management, Governance (3 papers). Alan S. Levitan collaborates with scholars based in United States and China. Alan S. Levitan's co-authors include Jian Guan, Jozef Zurada, Donghui Shi, Mahesh Gupta, John R. Kuhn, Sandeep Goyal, David A. Dubofsky and Lyle Sussman and has published in prestigious journals such as Journal of the Association for Information Systems, International Journal of Accounting Information Systems and Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.

In The Last Decade

Alan S. Levitan

19 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alan S. Levitan 171 57 52 51 41 19 356
Byeonghwa Park 168 1.0× 59 1.0× 66 1.3× 28 0.5× 30 0.7× 21 388
Vassilis Assimakopoulos 235 1.4× 60 1.1× 41 0.8× 11 0.2× 47 1.1× 14 362
Anath Rau Krishnan 36 0.2× 140 2.5× 17 0.3× 47 0.9× 23 0.6× 19 398
Junru Zhang 101 0.6× 28 0.5× 16 0.3× 27 0.5× 13 0.3× 39 333
Gökhan Özkaya 81 0.5× 88 1.5× 21 0.4× 23 0.5× 32 0.8× 15 371
Ye Shi 61 0.4× 75 1.3× 9 0.2× 21 0.4× 80 2.0× 12 379
Charles Chen 73 0.4× 55 1.0× 38 0.7× 10 0.2× 78 1.9× 26 366
Edwin Garces 106 0.6× 73 1.3× 15 0.3× 26 0.5× 8 0.2× 17 397
Jichang Dong 91 0.5× 18 0.3× 33 0.6× 16 0.3× 44 1.1× 29 353
Andrzej Magruk 71 0.4× 61 1.1× 8 0.2× 24 0.5× 17 0.4× 35 383

Countries citing papers authored by Alan S. Levitan

Since Specialization
Citations

This map shows the geographic impact of Alan S. Levitan'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 Alan S. Levitan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan S. Levitan more than expected).

Fields of papers citing papers by Alan S. Levitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan S. Levitan. 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 Alan S. Levitan. The network helps show where Alan S. Levitan may publish in the future.

Co-authorship network of co-authors of Alan S. Levitan

This figure shows the co-authorship network connecting the top 25 collaborators of Alan S. Levitan. A scholar is included among the top collaborators of Alan S. Levitan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alan S. Levitan. Alan S. Levitan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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