Alan S. Abrahams

89 total papers · 2.3k total citations
72 papers, 1.6k citations indexed

About

Alan S. Abrahams is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Alan S. Abrahams has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 21 papers in Information Systems and 18 papers in Sociology and Political Science. Recurrent topics in Alan S. Abrahams's work include Sentiment Analysis and Opinion Mining (14 papers), Digital Marketing and Social Media (13 papers) and Advanced Text Analysis Techniques (9 papers). Alan S. Abrahams is often cited by papers focused on Sentiment Analysis and Opinion Mining (14 papers), Digital Marketing and Social Media (13 papers) and Advanced Text Analysis Techniques (9 papers). Alan S. Abrahams collaborates with scholars based in United States, United Kingdom and Thailand. Alan S. Abrahams's co-authors include G. Alan Wang, Weiguo Fan, Jian Jiao, Richard Gruss, Zhongju Zhang, David M. Goldberg, Sultan M. Al‐Daihani, Mahmood Niazi, Ross Jeffery and Mark Staples and has published in prestigious journals such as Expert Systems with Applications, Journal of Medical Internet Research and Decision Support Systems.

In The Last Decade

Alan S. Abrahams

66 papers receiving 1.6k citations

Author Peers

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

Author						Papers	Cites
Alan S. Abrahams	623	582	523	200	198	72	1.6k
Wingyan Chung	703 1.1×	890 1.5×	539 1.0×	232 1.2×	103 0.5×	82	2.1k
Salvador Sánchez‐Alonso	707 1.1×	606 1.0×	559 1.1×	95 0.5×	155 0.8×	131	2.1k
Jianshan Sun	871 1.4×	390 0.7×	667 1.3×	72 0.4×	312 1.6×	76	2.0k
Yezheng Liu	496 0.8×	313 0.5×	463 0.9×	163 0.8×	426 2.2×	101	1.6k
Michael D. Gordon	791 1.3×	476 0.8×	346 0.7×	84 0.4×	98 0.5×	62	1.9k
Atish P. Sinha	655 1.1×	431 0.7×	440 0.8×	369 1.8×	153 0.8×	51	1.6k
Zhongju Zhang	485 0.8×	421 0.7×	729 1.4×	247 1.2×	335 1.7×	59	2.1k
Balaji Padmanabhan	577 0.9×	733 1.3×	238 0.5×	141 0.7×	225 1.1×	83	1.7k
Chih‐Ping Wei	860 1.4×	622 1.1×	449 0.9×	165 0.8×	507 2.6×	109	2.2k
Cuiqing Jiang	473 0.8×	216 0.4×	439 0.8×	210 1.1×	256 1.3×	49	1.3k

Countries citing papers authored by Alan S. Abrahams

Since Specialization

Citations

This map shows the geographic impact of Alan S. Abrahams'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. Abrahams 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. Abrahams more than expected).

Fields of papers citing papers by Alan S. Abrahams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Alan S. Abrahams. A scholar is included among the top collaborators of Alan S. Abrahams 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. Abrahams. Alan S. Abrahams 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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