Shahid Mahmud

612 total citations
12 papers, 405 citations indexed

About

Shahid Mahmud is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Surgery. According to data from OpenAlex, Shahid Mahmud has authored 12 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Shahid Mahmud's work include Neonatal Respiratory Health Research (2 papers), Time Series Analysis and Forecasting (2 papers) and Data Stream Mining Techniques (2 papers). Shahid Mahmud is often cited by papers focused on Neonatal Respiratory Health Research (2 papers), Time Series Analysis and Forecasting (2 papers) and Data Stream Mining Techniques (2 papers). Shahid Mahmud collaborates with scholars based in Pakistan and United Kingdom. Shahid Mahmud's co-authors include Faiyaz Doctor, Rahat Iqbal, Rahat Iqbal, Tariq Ghafoor, Zeeshan Ahmed, Salman Ali, Shahid Aziz, Ali Saad and Shabbir Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Technological Forecasting and Social Change and International Journal of Information Management.

In The Last Decade

Shahid Mahmud

11 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shahid Mahmud Pakistan	7	82	77	67	59	45	12	405
Srinivas India	9	55 0.7×	91 1.2×	62 0.9×	22 0.4×	38 0.8×	36	709
Georg Großmann Australia	14	153 1.9×	139 1.8×	162 2.4×	55 0.9×	29 0.6×	90	830
Edward Rolando Núñez‐Valdéz Spain	13	31 0.4×	157 2.0×	211 3.1×	102 1.7×	39 0.9×	31	543
Ashwin Verma India	15	34 0.4×	244 3.2×	181 2.7×	134 2.3×	18 0.4×	29	750
A. A. Abd El-Aziz Saudi Arabia	11	27 0.3×	98 1.3×	62 0.9×	52 0.9×	16 0.4×	50	427
Richard Millham South Africa	11	19 0.2×	193 2.5×	124 1.9×	114 1.9×	15 0.3×	87	658
Francesc Solsona Spain	14	45 0.5×	101 1.3×	229 3.4×	272 4.6×	21 0.5×	74	791
Sachin Yadav India	10	154 1.9×	87 1.1×	270 4.0×	30 0.5×	33 0.7×	33	674
Ahmed E. Youssef Saudi Arabia	11	65 0.8×	72 0.9×	173 2.6×	130 2.2×	58 1.3×	31	493
Jos De Roo Belgium	13	52 0.6×	302 3.9×	102 1.5×	41 0.7×	113 2.5×	26	594

Countries citing papers authored by Shahid Mahmud

Since Specialization

Citations

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

Fields of papers citing papers by Shahid Mahmud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahid Mahmud

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

All Works

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12 of 12 papers shown

1.

Mahmud, Shahid, et al.. (2019). Neonatal Pain And Preventive Strategies: An Experience In A Tertiary Care Unit.. PubMed. 29(1). 42–44. 4 indexed citations

2.

Mahmud, Shahid, et al.. (2018). OUTCOME AND PROGNOSTIC FACTORS OF STROKE IN CHILDREN PRESENTING AT AN ARMY HOSPITAL IN PAKISTAN. SHILAP Revista de lepidopterología. 1 indexed citations

3.

Iqbal, Rahat, et al.. (2018). Big data analytics: Computational intelligence techniques and application areas. Technological Forecasting and Social Change. 153. 119253–119253. 169 indexed citations

4.

Ahmed, Shabbir, et al.. (2018). IRON DEFICIENCY ANEMIA. The Professional Medical Journal. 21(4). 734–738. 4 indexed citations

5.

Mahmud, Shahid, et al.. (2017). NEED FOR NOTIFYING AND PREVENTION OF CONGENITAL ANOMALIES. 67(6).

6.

Iqbal, Rahat, et al.. (2017). Big Data analytics and Computational Intelligence for Cyber–Physical Systems: Recent trends and state of the art applications. Future Generation Computer Systems. 105. 766–778. 89 indexed citations

7.

Iqbal, Rahat, et al.. (2016). TEMPORARY REMOVAL: Big Data analytics: Computational intelligence techniques and application areas. International Journal of Information Management. 11 indexed citations

8.

Mahmud, Shahid, Rahat Iqbal, & Faiyaz Doctor. (2015). Cloud enabled data analytics and visualization framework for health-shocks prediction. Future Generation Computer Systems. 65. 169–181. 51 indexed citations

9.

Mahmud, Shahid, et al.. (2013). A five years old girl child with Takayasu arteritis.. PubMed. 23(12). 896–8. 2 indexed citations

10.

Ahmed, Zeeshan, et al.. (2005). Diagnostic value of C- reactive protein and haematological parameters in neonatal sepsis.. PubMed. 15(3). 152–6. 39 indexed citations

11.

Mahmud, Shahid, et al.. (2004). Bacterial infections in paediatric patients with chemotherapy induced neutropenia.. PubMed. 54(5). 237–43. 8 indexed citations

12.

Ghafoor, Tariq, et al.. (2003). Incidence of respiratory distress syndrome.. PubMed. 13(5). 271–3. 27 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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