M. Hema

533 citations
46 papers · 292 indexed · h-index 11
Topics
Parkinson's Disease Mechanisms and Treatments (6 papers)Network Security and Intrusion Detection (5 papers)IoT and Edge/Fog Computing (5 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsApplied Soft Computing
Partner nations
IndiaUnited States

In The Last Decade

M. Hema

39 papers receiving 266 citations

Peers

M. Hema
Comparison fields: 5 of 81
  • Computer Networks and Communications 66
  • Artificial Intelligence 63
  • Information Systems 47
  • Signal Processing 28
  • Plant Science 27
Replace Mohammed Nazim Uddin with:
Mohammed Nazim Uddin Bangladesh
Kaushik Sekaran India
Chamandeep Kaur India
P. N. Renjith India
Sultan Alyami Saudi Arabia
Faheem Ahmad Reegu Saudi Arabia
Latifah Almuqren Saudi Arabia
Purvi Prajapati India
S. Kannimuthu India
Sujala D. Shetty United Arab Emirates
M. Hema relative to Mohammed Nazim Uddin Bangladesh Mohammed Nazim Uddin's profile →
Citations per field
00.5×2.6×
Mohammed Nazim Uddin · 1×
Citations per year

Countries citing papers authored by M. Hema

Since Specialization
Citations

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

Fields of papers citing papers by M. Hema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hema

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hema. A scholar is included among the top collaborators of M. Hema 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 M. Hema. M. Hema 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 0
2 7
3 0
4 2
5 20
6 8
7 22
8 3
9 7
10
A Survey on Automatic Abnormalities Monitoring System for Log Files using Machine Learning
14
11 1
12 0
13 1
14 4
15 1
16 5
17 14
18
Inter-regional variations and future household demand and production of major spices in India
1
19
Demand and supply of major spices in India: a regional analysis.
0
20 6

About M. Hema

M. Hema is a scholar working on Signal Processing, Computer Networks and Communications and General Agricultural and Biological Sciences, having authored 46 papers that have together received 292 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Network Security and Intrusion Detection (5 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Networks and Communications (66 citations), Health Information Management (13 citations) and Signal Processing (28 citations). M. Hema has collaborated with scholars based in India and United States. Frequent co-authors include Sanjay Gupta, P. Indira Devi, K. S. Reddy, V. Ravi, Ranjit Kumar, P. Ajay, Aditi Sharma, V. Balaji, M. Ramkumar Raja and Mohamed Mohana. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026