Indu Singh

455 citations
51 papers · 234 indexed · h-index 9
Topics
Network Security and Intrusion Detection (13 papers)Internet Traffic Analysis and Secure E-voting (9 papers)Spam and Phishing Detection (8 papers)
Journals
SHILAP Revista de lepidopterologíaAcademic MedicineApplied Soft Computing
Partner nations
IndiaCanadaUnited States

In The Last Decade

Indu Singh

37 papers receiving 215 citations

Peers

Indu Singh
Comparison fields: 5 of 97
  • Artificial Intelligence 56
  • Public Health, Environmental and Occupational Health 56
  • Family Practice 31
  • Computer Vision and Pattern Recognition 30
  • Computer Networks and Communications 28
Replace Saeed M. Alshahrani with:
Saeed M. Alshahrani Saudi Arabia
Tom Lehman United States
Steven Burrows Germany
Tahani Alsubait Saudi Arabia
Faiza Farhat India
Tomáš Kliegr Czechia
Osamah Mohammed Alyasiri Iraq
Maha Al-Yahya Saudi Arabia
Dimitris Kotzinos France
Claude Chrisment France
Indu Singh relative to Saeed M. Alshahrani Saudi Arabia Saeed M. Alshahrani's profile →
Citations per field
00.5×10×15×21×
Saeed M. Alshahrani · 1×
Citations per year

Countries citing papers authored by Indu Singh

Since Specialization
Citations

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

Fields of papers citing papers by Indu Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indu Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Indu Singh. A scholar is included among the top collaborators of Indu Singh 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 Indu Singh. Indu Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 0
4 0
5 2
6 2
7 10
8 10
9 1
10 13
11 2
12 6
13 2
14 0
15 21
16
Work integrated learning (WIL) in laboratory medicine at RMIT
1
17 63
18 1
19
Advances in telematics
6
20
Security vs. survival : the nuclear arms race
1

About Indu Singh

Indu Singh is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 51 papers that have together received 234 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Internet Traffic Analysis and Secure E-voting (9 papers) and Spam and Phishing Detection (8 papers). The work is most often cited by research in Family Practice (31 citations), Media Technology (26 citations) and Leadership and Management (3 citations). Indu Singh has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Joseph N. Pelton, Rajni Jindal, Heather Maddocks, Lorelei Lingard, Valerie Schulz, Christopher Watling, Elaine Zibrowski, Cynthia Kenyon, Mark Goldszmidt and Narendra Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Academic Medicine and Applied Soft Computing.

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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