Nadeem Mahmood

491 total citations
45 papers, 295 citations indexed

About

Nadeem Mahmood is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Nadeem Mahmood has authored 45 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Information Systems. Recurrent topics in Nadeem Mahmood's work include Data Management and Algorithms (7 papers), Semantic Web and Ontologies (7 papers) and Advanced Database Systems and Queries (6 papers). Nadeem Mahmood is often cited by papers focused on Data Management and Algorithms (7 papers), Semantic Web and Ontologies (7 papers) and Advanced Database Systems and Queries (6 papers). Nadeem Mahmood collaborates with scholars based in Pakistan, Malaysia and Saudi Arabia. Nadeem Mahmood's co-authors include Moazzam Ali Khan, Farhan Siddiqui, Ahmad Waqas, Asadullah Shah, Kamran Ahsan, Hafiz Abid Mahmood Malik, Mohammad Athar, Ahmad Mahmood, Adamu Abubakar and S. M. Aqil Burney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electroencephalography and Clinical Neurophysiology and Environmental Monitoring and Assessment.

In The Last Decade

Nadeem Mahmood

38 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nadeem Mahmood Pakistan 10 51 44 43 40 32 45 295
Kamrul Islam Bangladesh 11 43 0.8× 246 5.6× 26 0.6× 81 2.0× 29 0.9× 54 517
Preeti Gupta India 11 38 0.7× 25 0.6× 25 0.6× 76 1.9× 10 0.3× 41 322
Manash Sarkar India 10 63 1.2× 31 0.7× 63 1.5× 78 1.9× 13 0.4× 26 277
Şenay Yolaçan Türkiye 5 17 0.3× 11 0.3× 13 0.3× 45 1.1× 31 1.0× 6 332
Davide Sottara Italy 6 28 0.5× 18 0.4× 23 0.5× 54 1.4× 12 0.4× 18 155
Shazlyn Milleana Shaharudin Malaysia 10 36 0.7× 17 0.4× 28 0.7× 47 1.2× 55 1.7× 58 339
Anat Goldstein Israel 9 41 0.8× 39 0.9× 49 1.1× 48 1.2× 23 0.7× 27 335
Ingolf Krueger United States 13 6 0.1× 72 1.6× 81 1.9× 70 1.8× 46 1.4× 24 301
Samuel E. Buttrey United States 13 9 0.2× 16 0.4× 21 0.5× 66 1.6× 10 0.3× 32 387

Countries citing papers authored by Nadeem Mahmood

Since Specialization
Citations

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

Fields of papers citing papers by Nadeem Mahmood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadeem Mahmood

This figure shows the co-authorship network connecting the top 25 collaborators of Nadeem Mahmood. A scholar is included among the top collaborators of Nadeem Mahmood 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 Nadeem Mahmood. Nadeem Mahmood 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
1.
Ahsan, Kamran, Nadeem Mahmood, & S. M. Aqil Burney. (2020). Generic Temporal and Fuzzy Ontological Framework (GTFOF) for Developing Temporal-Fuzzy Database Model for Managing Patient's Data. TUGraz OPEN Library (Graz University of Technology).
2.
Khan, Jibran, et al.. (2019). PREDICTIVE POLICING: A Machine Learning Approach to Predict and Control Crimes in Metropolitan Cities. SHILAP Revista de lepidopterología. 3 indexed citations
3.
Mahmood, Nadeem, et al.. (2019). Spatio-Temporal Database Modeling And Applications For Assistance Of Huge Crowd In Hajj. 2019(4). 2 indexed citations
4.
Burney, S. M. Aqil, et al.. (2018). Suspicious Call Detection Using Bayesian Network Approach. WSEAS Transactions on Information Science and Applications archive. 15.
5.
Mehmood, Amir, et al.. (2017). A Study of Wearable Bio-Sensor Technologies and Applications in Healthcare. SHILAP Revista de lepidopterología. 1(1). 67–77. 1 indexed citations
6.
Mahmood, Nadeem, et al.. (2017). Building Spatio-Temporal Database Model Based on Ontological Approach using Relational Database Environment. SHILAP Revista de lepidopterología. 36(4). 891–900. 3 indexed citations
7.
Mahmood, Nadeem, et al.. (2015). Analyzing the weighted dark networks using scale-free network approach. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 1 indexed citations
8.
Shah, Asadullah, et al.. (2015). Analysis of Design Principles and Requirements for Procedural Rigging of Bipeds and Quadrupeds Characters with Custom Manipulators for Animation. arXiv (Cornell University). 5(1). 47–67. 3 indexed citations
9.
Mahmood, Nadeem, Asadullah Shah, Ahmad Waqas, et al.. (2014). RFID based smart hospital management system: A conceptual framework. The International Islamic University Malaysia Repository (The International Islamic University Malaysia). 1–6. 8 indexed citations
10.
Mahmood, Nadeem, et al.. (2013). Prospects for Mobile Health in Pakistan and Other Developing Countries. 3(2). 27–32. 21 indexed citations
11.
Mahmood, Nadeem, et al.. (2012). Advances in fuzzy rough set theory for temporal databases. International Conference on Artificial Intelligence. 237–242. 1 indexed citations
12.
Mahmood, Nadeem, et al.. (2012). Application of Fuzzy Rough Temporal approach in Patient Data Management (FRT-PDM). 3 indexed citations
13.
Mahmood, Nadeem, et al.. (2011). Advances in fuzzy temporal relational databases: a review. WSEAS Transactions on Information Science and Applications archive. 8(4). 171–184. 5 indexed citations
14.
Mahmood, Nadeem & S. M. Aqil Burney. (2011). Temporal and Fuzzy Relational Databases: Application of Patient Data in Health-care Information Systems. 4 indexed citations
15.
Mahmood, Nadeem, et al.. (2010). Conceptual fuzzy temporal relational model (FTRM) for patient data. WSEAS Transactions on Information Science and Applications archive. 7(5). 725–734. 5 indexed citations
16.
Mahmood, Nadeem, et al.. (2010). TempR-PDM: a conceptual temporal relational model for managing patient data. Advances in Chronic Kidney Disease. 29(1). 237–243. 14 indexed citations
17.
Mahmood, Nadeem, et al.. (2010). Information and Communication Technology in Healthcare Management Systems: Prospects for Developing Countries. International Journal of Computer Applications. 4(2). 27–32. 35 indexed citations
18.
Mahmood, Ahmad, et al.. (2008). Effect of NaCl Salinity on Growth, Nodulation and Total Nitrogen Content in Sesbania Sesban. University of Zagreb University Computing Centre (SRCE). 73(3). 137–141. 19 indexed citations
19.
Mahmood, Nadeem, et al.. (1993). A fractal approach to detection of epileptic discharges. Electroencephalography and Clinical Neurophysiology. 87(2). S78–S78. 1 indexed citations
20.
Mahmood, Nadeem, et al.. (1970). Measuring The Fractal Dimension Of EEGSignals: Selection And Adaptation OfMethod For Real-time Analysis. WIT transactions on biomedicine and health. 1. 3 indexed citations

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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