Iqra Safder

508 total citations
18 papers, 312 citations indexed

About

Iqra Safder is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Iqra Safder has authored 18 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 4 papers in Molecular Biology. Recurrent topics in Iqra Safder's work include Topic Modeling (10 papers), Advanced Text Analysis Techniques (9 papers) and Complex Network Analysis Techniques (6 papers). Iqra Safder is often cited by papers focused on Topic Modeling (10 papers), Advanced Text Analysis Techniques (9 papers) and Complex Network Analysis Techniques (6 papers). Iqra Safder collaborates with scholars based in Pakistan, Saudi Arabia and United Kingdom. Iqra Safder's co-authors include Saeed‐Ul Hassan, Naif Radi Aljohani, Raheel Nawaz, Faisal Bukhari, Faisal Kamiran, Rao Muhammad Adeel Nawab, Ahmed S. Alfakeeh, Suppawong Tuarob, Thanapon Noraset and Anna Visvizi and has published in prestigious journals such as Scientometrics, Information Processing & Management and Journal of Ambient Intelligence and Humanized Computing.

In The Last Decade

Iqra Safder

17 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iqra Safder Pakistan	10	220	56	42	37	36	18	312
Or Biran United States	10	352 1.6×	47 0.8×	21 0.5×	22 0.6×	18 0.5×	18	416
Angelo A. Salatino United Kingdom	11	226 1.0×	52 0.9×	23 0.5×	16 0.4×	64 1.8×	31	339
Hidetsugu Nanba Japan	14	393 1.8×	128 2.3×	32 0.8×	37 1.0×	84 2.3×	53	509
Michael Ley Germany	4	133 0.6×	87 1.6×	31 0.7×	25 0.7×	22 0.6×	16	242
Amjad Abu-Jbara United States	9	440 2.0×	105 1.9×	42 1.0×	20 0.5×	86 2.4×	16	506
Sagnik Ray Choudhury United States	12	134 0.6×	73 1.3×	16 0.4×	98 2.6×	13 0.4×	18	251
Dominika Tkaczyk Poland	7	140 0.6×	96 1.7×	50 1.2×	55 1.5×	33 0.9×	12	285
Drahomíra Herrmannová United States	8	104 0.5×	45 0.8×	37 0.9×	13 0.4×	22 0.6×	26	264
Ingo Frommholz United Kingdom	10	189 0.9×	114 2.0×	6 0.1×	43 1.2×	17 0.5×	57	308
Danilo Dessı̀ Italy	9	187 0.8×	66 1.2×	6 0.1×	26 0.7×	29 0.8×	34	285

Countries citing papers authored by Iqra Safder

Since Specialization

Citations

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

Fields of papers citing papers by Iqra Safder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iqra Safder

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

All Works

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18 of 18 papers shown

Hadi, Muhammad N.S., Iqra Safder, Hajra Waheed, et al.. (2024). A transformer-based Urdu image caption generation. Journal of Ambient Intelligence and Humanized Computing. 15(9). 3441–3457. 1 indexed citations

Safder, Iqra, et al.. (2024). MSDGSD: A Scalable Graph Descriptor for Processing Large Graphs. IEEE Transactions on Computational Social Systems. 11(3). 3594–3605.

Safder, Iqra, et al.. (2024). Transforming Language Translation: A Deep Learning Approach to Urdu–English Translation. Journal of Ambient Intelligence and Humanized Computing. 15(10). 3651–3662. 2 indexed citations

Safder, Iqra, et al.. (2023). Neural machine translation for in‐text citation classification. Journal of the Association for Information Science and Technology. 74(10). 1229–1240. 2 indexed citations

Hassan, Saeed‐Ul, Naif Radi Aljohani, Iqra Safder, et al.. (2022). Exploiting tweet sentiments in altmetrics large-scale data. Journal of Information Science. 49(5). 1229–1245. 5 indexed citations

Iqbal, Sobia, Iqra Safder, Naif Radi Aljohani, et al.. (2022). Who Cites Whom and How It Impacts the Knowledge Production Process across Disciplines?: A Methodological Insight. Science & Technology Libraries. 42(2). 201–214. 2 indexed citations

Safder, Iqra, Raheem Sarwar, Saeed‐Ul Hassan, et al.. (2021). Sentiment analysis for Urdu online reviews using deep learning models. Expert Systems. 38(8). 27 indexed citations

Safder, Iqra, Raheem Sarwar, Naif Radi Aljohani, et al.. (2021). Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization. Applied Artificial Intelligence. 36(1). 10 indexed citations

Hassan, Saeed‐Ul, Saira Hanif Soroya, Iqra Safder, et al.. (2020). Sentiment analysis of tweets through Altmetrics: A machine learning approach. Journal of Information Science. 47(6). 712–726. 25 indexed citations

10.

Aljohani, Naif Radi, et al.. (2020). Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics. Scientometrics. 125(2). 1541–1558. 14 indexed citations

11.

Safder, Iqra, Rao Muhammad Adeel Nawab, Faisal Bukhari, et al.. (2020). Deep sentiments in Roman Urdu text using Recurrent Convolutional Neural Network model. Information Processing & Management. 57(4). 102233–102233. 65 indexed citations

12.

Safder, Iqra, Saeed‐Ul Hassan, Anna Visvizi, et al.. (2020). Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents. Information Processing & Management. 57(6). 102269–102269. 39 indexed citations

13.

Safder, Iqra & Saeed‐Ul Hassan. (2019). Bibliometric-enhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications. Scientometrics. 119(1). 257–277. 35 indexed citations

14.

Imran, Muhammad, et al.. (2018). Exploiting Social Networks of Twitter in Altmetrics Big Data. 1339–1344. 9 indexed citations

15.

Safder, Iqra & Saeed‐Ul Hassan. (2018). DS4A: Deep Search System for Algorithms from Full-Text Scholarly Big Data. 1308–1315. 11 indexed citations

16.

Safder, Iqra, Saeed‐Ul Hassan, & Naif Radi Aljohani. (2018). AI Cognition in Searching for Relevant Knowledge from Scholarly Big Data, Using a Multi-layer Perceptron and Recurrent Convolutional Neural Network Model. 251–258. 11 indexed citations

17.

Hassan, Saeed‐Ul, et al.. (2018). A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis. Scientometrics. 116(2). 973–996. 50 indexed citations

18.

Safder, Iqra, et al.. (2018). Mining algorithmic complexity in full-text scholarly documents. Research Commons (University of Waikato). 4 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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