Jalal Mahmud

103 total papers · 2.1k total citations
63 papers, 1.0k citations indexed

About

Jalal Mahmud is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Jalal Mahmud has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 26 papers in Artificial Intelligence and 14 papers in Statistical and Nonlinear Physics. Recurrent topics in Jalal Mahmud's work include Web Data Mining and Analysis (17 papers), Sentiment Analysis and Opinion Mining (14 papers) and Complex Network Analysis Techniques (12 papers). Jalal Mahmud is often cited by papers focused on Web Data Mining and Analysis (17 papers), Sentiment Analysis and Opinion Mining (14 papers) and Complex Network Analysis Techniques (12 papers). Jalal Mahmud collaborates with scholars based in United States, Bangladesh and Finland. Jalal Mahmud's co-authors include Jeffrey Nichols, Clemens Drews, Jilin Chen, I. V. Ramakrishnan, Yevgen Borodin, Michelle X. Zhou, Gary Hsieh, Mohammed Eunus Ali, Md. Saddam Hossain Mukta and Kyumin Lee and has published in prestigious journals such as Information Processing & Management, Journal of the Association for Information Science and Technology and ACM Transactions on Intelligent Systems and Technology.

In The Last Decade

Jalal Mahmud

59 papers receiving 999 citations

Author Peers

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

Author						Papers	Cites
Jalal Mahmud	363	340	265	233	128	63	1.0k
Eelco Herder	271 0.7×	518 1.5×	156 0.6×	90 0.4×	36 0.3×	84	989
Gilly Leshed	191 0.5×	209 0.6×	215 0.8×	39 0.2×	30 0.2×	46	1.2k
Ayşe Göker	345 1.0×	396 1.2×	175 0.7×	205 0.9×	42 0.3×	40	884
Eben M. Haber	222 0.6×	424 1.2×	109 0.4×	20 0.1×	45 0.4×	33	992
Aisling Kelliher	244 0.7×	146 0.4×	184 0.7×	231 1.0×	47 0.4×	69	1.2k
John Hannon	135 0.4×	262 0.8×	91 0.3×	153 0.7×	22 0.2×	41	826
Alex Voß	189 0.5×	293 0.9×	546 2.1×	115 0.5×	30 0.2×	53	1.2k
Ning Gu	449 1.2×	648 1.9×	170 0.6×	29 0.1×	52 0.4×	142	1.2k
Richard Medina	92 0.3×	55 0.2×	361 1.4×	116 0.5×	60 0.5×	58	1.0k
Saiph Savage	187 0.5×	106 0.3×	368 1.4×	31 0.1×	9 0.1×	47	888

Countries citing papers authored by Jalal Mahmud

Since Specialization

Citations

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

Fields of papers citing papers by Jalal Mahmud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jalal Mahmud. 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 Jalal Mahmud. The network helps show where Jalal Mahmud may publish in the future.

Co-authorship network of co-authors of Jalal Mahmud

This figure shows the co-authorship network connecting the top 25 collaborators of Jalal Mahmud. A scholar is included among the top collaborators of Jalal Mahmud 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 Jalal Mahmud. Jalal Mahmud 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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