Abbas Shah Syed

623 total citations · 1 hit paper
17 papers, 337 citations indexed

About

Abbas Shah Syed is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Abbas Shah Syed has authored 17 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Industrial and Manufacturing Engineering and 4 papers in Control and Systems Engineering. Recurrent topics in Abbas Shah Syed's work include Manufacturing Process and Optimization (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Robot Manipulation and Learning (4 papers). Abbas Shah Syed is often cited by papers focused on Manufacturing Process and Optimization (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Robot Manipulation and Learning (4 papers). Abbas Shah Syed collaborates with scholars based in United States, Canada and Pakistan. Abbas Shah Syed's co-authors include Adel Elmaghraby, Daniel Sierra-Sosa, Anup Kumar, Anup Kumar, Mohamed S. Kamel, Waguih ElMaraghy, H.A. ElMaraghy, Henry K. Chu, Adrian P. Lauf and Faisal Karim Shaikh and has published in prestigious journals such as Sensors, CIRP Annals and Energies.

In The Last Decade

Abbas Shah Syed

12 papers receiving 315 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

2021 264 citations Abbas Shah Syed, Daniel Sierra-Sosa et al. Smart Cities profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abbas Shah Syed United States	5	140	84	82	57	57	17	337
Dimitris Kelaidonis Greece	4	266 1.9×	102 1.2×	49 0.6×	87 1.5×	85 1.5×	4	381
George Poulios Greece	5	291 2.1×	118 1.4×	49 0.6×	87 1.5×	86 1.5×	7	408
Vassilis Foteinos Greece	8	316 2.3×	139 1.7×	50 0.6×	92 1.6×	86 1.5×	10	448
Aditya Gaur United Kingdom	3	133 0.9×	53 0.6×	81 1.0×	49 0.9×	36 0.6×	6	263
Ning Ye China	9	177 1.3×	142 1.7×	38 0.5×	121 2.1×	35 0.6×	19	429
Fotios Zantalis Greece	3	123 0.9×	90 1.1×	32 0.4×	88 1.5×	39 0.7×	5	403
Pedro M. Santos Portugal	8	132 0.9×	150 1.8×	35 0.4×	24 0.4×	51 0.9×	50	332
R. Sumathi India	11	107 0.8×	94 1.1×	26 0.3×	64 1.1×	29 0.5×	69	351
Manuel Álvarez-Campana Spain	8	135 1.0×	87 1.0×	32 0.4×	59 1.0×	15 0.3×	23	273
El Arbi Abdellaoui Alaoui Morocco	10	99 0.7×	47 0.6×	57 0.7×	37 0.6×	24 0.4×	44	407

Countries citing papers authored by Abbas Shah Syed

Since Specialization

Citations

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

Fields of papers citing papers by Abbas Shah Syed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abbas Shah Syed. 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 Abbas Shah Syed. The network helps show where Abbas Shah Syed may publish in the future.

Co-authorship network of co-authors of Abbas Shah Syed

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

All Works

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17 of 17 papers shown

Syed, Abbas Shah, et al.. (2024). An Explainable AI Approach to Speech-Based Alzheimer's Dementia Screening. 11–15. 1 indexed citations

Syed, Abbas Shah, et al.. (2024). Impact of Generative AI in Revolutionizing Education. 1–6.

Syed, Abbas Shah, et al.. (2024). Assessing the Complementarity of Wind and Solar Energy in Kentucky. Energies. 17(13). 3226–3226. 3 indexed citations

Shaikh, Faisal Karim, et al.. (2023). Visual Analytics for Automated Behavior Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges. 221–250.

Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2022). Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, Constraints. Sensors. 22(12). 4380–4380. 14 indexed citations

Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2022). A Deep Convolutional Neural Network-XGB for Direction and Severity Aware Fall Detection and Activity Recognition. Sensors. 22(7). 2547–2547. 22 indexed citations

Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2022). Cross dataset non-binary fall detection using a ConvLSTM-attention network. 2022 IEEE Globecom Workshops (GC Wkshps). 1068–1073. 4 indexed citations

Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2021). IoT in Smart Cities: A Survey of Technologies, Practices and Challenges. Smart Cities. 4(2). 429–475. 264 indexed citations breakdown →

Syed, Abbas Shah, Daniel Sierra-Sosa, Anup Kumar, & Adel Elmaghraby. (2021). A Hierarchical Approach to Activity Recognition and Fall Detection Using Wavelets and Adaptive Pooling. Sensors. 21(19). 6653–6653. 13 indexed citations

10.

Syed, Abbas Shah, Anup Kumar, Daniel Sierra-Sosa, & Adel Elmaghraby. (2020). Determining Fall direction and severity using SVMs. 39. 1–7. 3 indexed citations

11.

Syed, Abbas Shah, et al.. (2020). Continuous Human Activity Recognition in Logistics from Inertial Sensor Data using Temporal Convolutions in CNN. International Journal of Advanced Computer Science and Applications. 11(10). 2 indexed citations

12.

Syed, Abbas Shah, et al.. (2003). Real-time monitoring and diagnosing of robotic assembly with self-organizing neural maps. 271–274.

13.

ElMaraghy, H.A., Abbas Shah Syed, & Henry K. Chu. (2002). Applications of mapping concepts to multi-robot collision avoidance and task plan execution. 2. 466–469.

14.

Syed, Abbas Shah, et al.. (2002). Real-time monitoring and diagnosing of robotic assembly with self-organizing neural maps. i. 188–195.

15.

Kamel, Mohamed S. & Abbas Shah Syed. (1994). A multiagent task planning method for agents with disparate capabilities. The International Journal of Advanced Manufacturing Technology. 9(6). 408–420. 3 indexed citations

16.

ElMaraghy, H.A., Abbas Shah Syed, Henry K. Chu, & Waguih ElMaraghy. (1993). A 2-D Mapping Approach for Monitoring and Diagnosing the Execution of Robotic Assembly Tasks. CIRP Annals. 42(1). 9–12. 6 indexed citations

17.

Kamel, Mohamed S. & Abbas Shah Syed. (1992). Task decomposition and plan generation in multiagent domains. Robotics and Computer-Integrated Manufacturing. 9(1). 71–83. 2 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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