Geeth de Mel

624 total citations
55 papers, 334 citations indexed

About

Geeth de Mel is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Geeth de Mel has authored 55 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 20 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Geeth de Mel's work include Semantic Web and Ontologies (19 papers), Service-Oriented Architecture and Web Services (15 papers) and Logic, Reasoning, and Knowledge (10 papers). Geeth de Mel is often cited by papers focused on Semantic Web and Ontologies (19 papers), Service-Oriented Architecture and Web Services (15 papers) and Logic, Reasoning, and Knowledge (10 papers). Geeth de Mel collaborates with scholars based in United Kingdom, United States and Türkiye. Geeth de Mel's co-authors include Alun Preece, Murat Şensoy, Wamberto Vasconcelos, Tien Pham, Lance Kaplan, Diego Pizzocaro, Dave Braines, Annika Marie Schoene, Timothy J. Norman and Mario Gómez and has published in prestigious journals such as Information Fusion, Future Generation Computer Systems and Engineering Applications of Artificial Intelligence.

In The Last Decade

Geeth de Mel

52 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geeth de Mel United Kingdom	11	205	97	90	35	29	55	334
Md. Kowsher Bangladesh	11	269 1.3×	114 1.2×	47 0.5×	35 1.0×	20 0.7×	37	449
Rifat Shahriyar Bangladesh	13	293 1.4×	177 1.8×	72 0.8×	32 0.9×	12 0.4×	38	561
Amro Najjar Luxembourg	9	170 0.8×	49 0.5×	53 0.6×	15 0.4×	23 0.8×	44	358
Javier Carbó Spain	11	229 1.1×	112 1.2×	115 1.3×	125 3.6×	28 1.0×	46	403
Roberto Yus United States	12	136 0.7×	89 0.9×	91 1.0×	37 1.1×	25 0.9×	44	316
Larry Bunch United States	10	197 1.0×	186 1.9×	137 1.5×	147 4.2×	19 0.7×	30	424
Ron van Hoof United States	7	126 0.6×	75 0.8×	52 0.6×	49 1.4×	33 1.1×	10	270
Jibing Gong China	12	181 0.9×	134 1.4×	77 0.9×	9 0.3×	40 1.4×	50	390
Xuejie Zhang China	9	292 1.4×	93 1.0×	57 0.6×	22 0.6×	22 0.8×	22	423
Ghaith M. Jaradat Jordan	12	106 0.5×	91 0.9×	57 0.6×	12 0.3×	66 2.3×	35	364

Countries citing papers authored by Geeth de Mel

Since Specialization

Citations

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

Fields of papers citing papers by Geeth de Mel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geeth de Mel. 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 Geeth de Mel. The network helps show where Geeth de Mel may publish in the future.

Co-authorship network of co-authors of Geeth de Mel

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

All Works

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20 of 20 papers shown

Mel, Geeth de, et al.. (2024). Encoding Seasonal Climate Predictions with Modular Neural Network. 6105–6109. 1 indexed citations

Barry, James, et al.. (2023). NLPeople at NADI 2023 Shared Task: Arabic Dialect Identification with Augmented Context and Multi-Stage Tuning. 642–646. 1 indexed citations

Elmegreen, Bruce G., Hendrik F. Hamann, Benjamin H. Wunsch, et al.. (2023). MDLab: AI frameworks for carbon capture and battery materials. Frontiers in Environmental Science. 11. 3 indexed citations

Mel, Geeth de, et al.. (2023). NLPeople at SemEval-2023 Task 2: A Staged Approach for Multilingual Named Entity Recognition. 1148–1153. 2 indexed citations

Schoene, Annika Marie, Alexander P. Turner, Geeth de Mel, & Nina Dethlefs. (2021). Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes. IEEE Transactions on Affective Computing. 14(1). 153–164. 22 indexed citations

Preece, Alun, et al.. (2020). A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurrency and Computation Practice and Experience. 33(19). 7 indexed citations

Schoene, Annika Marie & Geeth de Mel. (2019). Pooling Tweets by Fine-Grained Emotions to Uncover Topic Trends in Social Media. 1–7. 2 indexed citations

Şensoy, Murat, et al.. (2017). Combining semantic web and IoT to reason with health and safety policies. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 20. 2990–2997. 1 indexed citations

Mel, Geeth de, et al.. (2017). A Knowledge Driven Policy Framework for Internet of Things. 207–216. 5 indexed citations

10.

Şensoy, Murat, et al.. (2016). Source behavior discovery for fusion of subjective opinions. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 138–145. 2 indexed citations

11.

Edwards, James, Taylor Cassidy, Geeth de Mel, & Thomas La Porta. (2016). Integrating quality of information with pragmatic assistance. 3 indexed citations

12.

Şensoy, Murat, et al.. (2015). FUSE-BEE: Fusion of subjective opinions through behavior estimation. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 558–565. 2 indexed citations

13.

Braines, Dave, Alun Preece, Geeth de Mel, & Tien Pham. (2014). Enabling CoIST users: D2D at the network edge. ORCA Online Research @Cardiff (Cardiff University). 5 indexed citations

14.

Kaplan, Lance, Murat Şensoy, & Geeth de Mel. (2014). Trust estimation and fusion of uncertain information by exploiting consistency. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1–8. 15 indexed citations

15.

Kaplan, Lance, Murat Şensoy, Yuqing Tang, et al.. (2013). Reasoning under uncertainty: Variations of subjective logic deduction. ECS Journal of Solid State Science and Technology (The Electrochemical Society). 1910–1917. 8 indexed citations

16.

Şensoy, Murat, et al.. (2013). TRIBE: Trust revision for information based on evidence. International Conference on Information Fusion. 914–921. 7 indexed citations

17.

Mel, Geeth de, et al.. (2011). Service-oriented reasoning architecture for resource-task assignment in sensor networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8047. 80470X–80470X. 1 indexed citations

18.

Şensoy, Murat, Geeth de Mel, Wamberto Vasconcelos, & Timothy J. Norman. (2011). Ontological logic programming. 1–9. 5 indexed citations

19.

Mel, Geeth de, Wamberto Vasconcelos, & Timothy J. Norman. (2010). Intelligent Resource Selection for Sensor-Task Assignment: A Knowledge Based Approach. 3 indexed citations

20.

Mel, Geeth de, Murat Şensoy, Wamberto Vasconcelos, & Alun Preece. (2009). Flexible Resource Assignment in Sensor Networks : A Hybrid Reasoning Approach. ORCA Online Research @Cardiff. 1–15. 18 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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