Seema Sharma

84 total papers · 942 total citations
51 papers, 542 citations indexed

About

Seema Sharma is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Seema Sharma has authored 51 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 9 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Seema Sharma's work include Scheduling and Optimization Algorithms (7 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Seema Sharma is often cited by papers focused on Scheduling and Optimization Algorithms (7 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Seema Sharma collaborates with scholars based in India, United Kingdom and United Arab Emirates. Seema Sharma's co-authors include D. C. Saxena, Charanjit S. Riar, Elizabeth Daniel, Jitendra Agrawal, MariaLaura Di Domenico, Sanjeev Sharma, Sanjeev Sharma, Narendra Singh Yadav, Deepti Mehrotra and Colin S. Gray and has published in prestigious journals such as Food Chemistry, International Journal of Biological Macromolecules and International Small Business Journal Researching Entrepreneurship.

In The Last Decade

Seema Sharma

44 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Seema Sharma	132	128	127	83	81	51	542
Navjot Kaur	41 0.3×	106 0.8×	107 0.8×	70 0.8×	55 0.7×	89	591
Mohd Asif Shah	29 0.2×	48 0.4×	27 0.2×	22 0.3×	81 1.0×	85	594
Yang Qian	29 0.2×	30 0.2×	37 0.3×	53 0.6×	179 2.2×	32	618
Donglin Chen	13 0.1×	42 0.3×	45 0.4×	81 1.0×	62 0.8×	69	554
Mingchui Dong	12 0.1×	68 0.5×	69 0.5×	17 0.2×	39 0.5×	38	506
Manuel J. Barranco	38 0.3×	32 0.3×	19 0.1×	276 3.3×	136 1.7×	17	568
Sumit Goyal	41 0.3×	104 0.8×	48 0.4×	125 1.5×	38 0.5×	52	569
Ying Li	54 0.4×	67 0.5×	22 0.2×	18 0.2×	58 0.7×	38	541
Hafiz Muhammad Irfan	16 0.1×	37 0.3×	82 0.6×	74 0.9×	43 0.5×	52	605
K. Sangeetha	30 0.2×	17 0.1×	96 0.8×	53 0.6×	75 0.9×	48	486

Countries citing papers authored by Seema Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Seema Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Sharma

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