Arunima Jaiswal

89 total papers · 711 total citations
42 papers, 380 citations indexed

About

Arunima Jaiswal is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arunima Jaiswal has authored 42 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arunima Jaiswal's work include Sentiment Analysis and Opinion Mining (6 papers), Spam and Phishing Detection (6 papers) and Text and Document Classification Technologies (4 papers). Arunima Jaiswal is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Spam and Phishing Detection (6 papers) and Text and Document Classification Technologies (4 papers). Arunima Jaiswal collaborates with scholars based in India, United Arab Emirates and United States. Arunima Jaiswal's co-authors include Akshi Kumar, Ruchika Malhotra, Gaurav Raj, Shobhit Verma, Dheerendra Singh, Aruna S. Jaiswal, Vijay S. Chauhan, Daohong Zhou, Shivani Gulati and Elizabeth A. Williamson and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Cancer Chemotherapy and Pharmacology and Multimedia Tools and Applications.

In The Last Decade

Arunima Jaiswal

39 papers receiving 358 citations

Author Peers

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

Author						Papers	Cites
Arunima Jaiswal	205	98	45	28	26	42	380
Makram Soui	178 0.9×	73 0.7×	21 0.5×	20 0.7×	14 0.5×	35	391
Traian Rebedea	249 1.2×	127 1.3×	55 1.2×	19 0.7×	32 1.2×	81	426
Seema Nagar	247 1.2×	105 1.1×	42 0.9×	11 0.4×	37 1.4×	33	422
Azucena Montes	194 0.9×	111 1.1×	25 0.6×	12 0.4×	23 0.9×	23	387
Wael Etaiwi	237 1.2×	137 1.4×	28 0.6×	10 0.4×	27 1.0×	32	382
Praveen Madiraju	124 0.6×	118 1.2×	61 1.4×	12 0.4×	33 1.3×	57	437
E. Sivasankar	198 1.0×	101 1.0×	40 0.9×	6 0.2×	19 0.7×	41	408
Rajaram Ganeshan	178 0.9×	43 0.4×	15 0.3×	31 1.1×	18 0.7×	32	356
Arlindo Silva	173 0.8×	91 0.9×	32 0.7×	23 0.8×	9 0.3×	21	346
Maryem Rhanoui	220 1.1×	55 0.6×	29 0.6×	12 0.4×	15 0.6×	34	372

Countries citing papers authored by Arunima Jaiswal

Since Specialization

Citations

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

Fields of papers citing papers by Arunima Jaiswal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arunima Jaiswal

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