Masoom Alam

1.8k citations
62 papers · 1.2k indexed · 1 hit paper · h-index 18

Masoom Alam

61 papers receiving 1.2k citations

Hit Papers

Blockchain-Based Agri-Food Supply Chain: A Complete Solution274202020262022202450100150200250

Peers

Masoom Alam
Comparison fields: 5 of 77
  • Information Systems 695
  • Computer Networks and Communications 497
  • Artificial Intelligence 467
  • Signal Processing 132
  • Food Science 116
Replace Alexandr Kuznetsov with:
Alexandr Kuznetsov Ukraine
Maninder Singh India
Ulf Lindqvist United States
Michael Brückner Thailand
Yihua Huang China
R. Rastogi United States
Kjetil Nørvåg Norway
Zihui Ge United States
M. Howard Williams United Kingdom
Masoom Alam relative to Alexandr Kuznetsov Ukraine Alexandr Kuznetsov's profile →
Citations per field
00.5×3.0×
Alexandr Kuznetsov · 1×
Citations per year

Countries citing papers authored by Masoom Alam

Since Specialization
Citations

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

Fields of papers citing papers by Masoom Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masoom Alam, 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 Masoom Alam Line = papers co-authored together Masoom Alam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 202217
3 20229
4 20215
5 202119
6 20216
7 201924
8 2019111
9 20192
10 201817
11 20185
12 20174
13 20163
14 201630
15 20112
16 20113
17 20116
18 200810
19 200710
20 19994

About Masoom Alam

Masoom Alam is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Data Security Solutions (19 papers), Access Control and Trust (16 papers), Cryptography and Data Security (16 papers), Security and Verification in Computing (14 papers), Network Security and Intrusion Detection (10 papers), Privacy-Preserving Technologies in Data (9 papers), Advanced Malware Detection Techniques (8 papers) and Blockchain Technology Applications and Security (7 papers). The work is most often cited by research in Information Systems (695 citations), Computer Networks and Communications (497 citations) and Artificial Intelligence (467 citations). Masoom Alam has collaborated with scholars based in Pakistan, United States and Saudi Arabia. Frequent co-authors include Abid Khan, Nadeem Javaid, Ahmad Almogren, Fahad Ahmed Al-Zahrani, Mansour Zuair, Saif Ur Rehman Malik, Xinwen Zhang, Tamleek Ali, Mohammad Nauman and F. B. Malik. Their work appears in journals such as IEEE Access, Future Generation Computer Systems, Journal of Network and Computer Applications, Computer Networks and Nuclear Physics A.

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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