T. Prem Jacob

107 total papers · 1.2k total citations
45 papers, 621 citations indexed

About

T. Prem Jacob is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Prem Jacob has authored 45 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 16 papers in Artificial Intelligence and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Prem Jacob's work include IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (7 papers) and Network Security and Intrusion Detection (7 papers). T. Prem Jacob is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (7 papers) and Network Security and Intrusion Detection (7 papers). T. Prem Jacob collaborates with scholars based in India, United States and Canada. T. Prem Jacob's co-authors include K. Pradeep, A. Pravin, P. Asha, G. Nagarajan, R. I. Minu, R. Manikandan, Fadi Al‐Turjman, Mithileysh Sathiyanarayanan, J. Albert Mayan and Rajesh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Wireless Personal Communications.

In The Last Decade

T. Prem Jacob

35 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
T. Prem Jacob 413 273 237 111 59 45 621
Mohammad Aljanabi 134 0.3× 106 0.4× 290 1.2× 76 0.7× 37 0.6× 59 647
Zryan Najat Rashid 203 0.5× 290 1.1× 203 0.9× 78 0.7× 111 1.9× 38 640
Ferdous Ahmed Barbhuiya 263 0.6× 206 0.8× 294 1.2× 124 1.1× 114 1.9× 72 674
Rabia Latif 301 0.7× 235 0.9× 230 1.0× 117 1.1× 66 1.1× 52 559
Saad Khan 301 0.7× 246 0.9× 174 0.7× 87 0.8× 116 2.0× 41 571
Ala Mughaid 145 0.4× 197 0.7× 192 0.8× 109 1.0× 80 1.4× 47 572
Ashfaq A. Khokhar 273 0.7× 110 0.4× 210 0.9× 146 1.3× 338 5.7× 31 728
Rosa Meo 181 0.4× 340 1.2× 320 1.4× 205 1.8× 88 1.5× 51 710
Ruba Abu Khurma 154 0.4× 127 0.5× 364 1.5× 94 0.8× 85 1.4× 44 662
Kutub Thakur 296 0.7× 244 0.9× 213 0.9× 235 2.1× 164 2.8× 48 713

Countries citing papers authored by T. Prem Jacob

Since Specialization
Citations

This map shows the geographic impact of T. Prem Jacob'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 T. Prem Jacob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Prem Jacob more than expected).

Fields of papers citing papers by T. Prem Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Prem Jacob. 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 T. Prem Jacob. The network helps show where T. Prem Jacob may publish in the future.

Co-authorship network of co-authors of T. Prem Jacob

This figure shows the co-authorship network connecting the top 25 collaborators of T. Prem Jacob. A scholar is included among the top collaborators of T. Prem Jacob 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 T. Prem Jacob. T. Prem Jacob 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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