Paul Jacob

946 citations
35 papers · 380 · h-index 11

Impact in

    • Network Security and Intrusion Detection
    • IoT and Edge/Fog Computing
    • Software-Defined Networks and 5G
    • Network Traffic and Congestion Control
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

Paul Jacob

35 papers receiving 363 citations

Peers

Paul Jacob
Comparison fields: 5 of 85
  • Computer Networks and Communications 143
  • Hematology 39
  • Information Systems 67
  • Ophthalmology 20
  • Artificial Intelligence 65
Replace R Porkodi with:
R Porkodi India
Ziheng Xu China
Wu Liu China
Devarpita Sinha United Kingdom
Man Chu China
Pradeep Kumar Singh India
Jinwei Liu United States
Shijie Tang China
Anum Masood Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Paul Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Paul Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Jacob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Jacob Line = papers co-authored together Paul Jacob links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200653
2 201850
3 201644
4 200538
5 201315
6 200214
7 201914
8 201912
9 201812
10 202012
11 201712
12 201110
13 200810
14
The role of urinary fractionated metanephrines in the diagnosis of phaeochromocytoma.
20139
15 20209
16 20227
17 20237
18 20216
19 20186
20 20126

About Paul Jacob

Paul Jacob is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Surgery, having authored 35 papers that have together received 380 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), IoT and Edge/Fog Computing (4 papers), Network Security and Intrusion Detection (4 papers), Service-Oriented Architecture and Web Services (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Wireless Networks and Protocols (3 papers), Blockchain Technology Applications and Security (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Computer Networks and Communications (143 citations), Hematology (39 citations), Information Systems (67 citations), Ophthalmology (20 citations) and Artificial Intelligence (65 citations). Paul Jacob has collaborated with scholars based in Ireland, India and United Kingdom. Frequent co-authors include Bruce S. Davie, Brian Lee, Roger A. Young, George John, Ravish Sanghi Raju, Deepak Thomas Abraham, Auro Viswabandya, Vikram Mathews, Aby Abraham and Biju George. Their work appears in journals such as IEEE Sensors Journal, Annals of Hematology, IEEE Communications Magazine, Electronic Commerce Research and Endocrine Practice.

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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