Deepan Lobo

409 total citations
13 papers, 255 citations indexed

About

Deepan Lobo is a scholar working on Computer Science Applications, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deepan Lobo has authored 13 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Science Applications, 4 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deepan Lobo's work include Teaching and Learning Programming (4 papers), IoT and Edge/Fog Computing (2 papers) and Innovative Teaching Methods (2 papers). Deepan Lobo is often cited by papers focused on Teaching and Learning Programming (4 papers), IoT and Edge/Fog Computing (2 papers) and Innovative Teaching Methods (2 papers). Deepan Lobo collaborates with scholars based in United States and Canada. Deepan Lobo's co-authors include Pramod Abichandani, Donald J. Bucci, Moshe Kam, Prateek Shekhar, Thomas J. Kelly and Hande Y. Benson and has published in prestigious journals such as IEEE Access, Sensors and IEEE Internet of Things Journal.

In The Last Decade

Deepan Lobo

13 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepan Lobo United States	9	74	50	49	49	37	13	255
Luca Bergesio Spain	9	119 1.6×	59 1.2×	48 1.0×	102 2.1×	18 0.5×	26	246
Pekka Peltola United Kingdom	8	102 1.4×	44 0.9×	237 4.8×	67 1.4×	26 0.7×	20	336
Paulo Chaínho Portugal	8	40 0.5×	36 0.7×	35 0.7×	28 0.6×	18 0.5×	10	195
Agfianto Eko Putra Indonesia	10	42 0.6×	15 0.3×	57 1.2×	54 1.1×	44 1.2×	61	263
Andi Dharmawan Indonesia	9	74 1.0×	35 0.7×	47 1.0×	86 1.8×	45 1.2×	58	278
Berat A. Erol United States	11	39 0.5×	32 0.6×	19 0.4×	76 1.6×	15 0.4×	17	258
Timm Linder Germany	8	44 0.6×	13 0.3×	18 0.4×	150 3.1×	41 1.1×	15	244
Zhenlin An Hong Kong	12	47 0.6×	56 1.1×	197 4.0×	27 0.6×	28 0.8×	47	336
Zhice Yang China	9	48 0.6×	111 2.2×	316 6.4×	58 1.2×	63 1.7×	39	485
Xumiao Zhang United States	6	39 0.5×	105 2.1×	137 2.8×	114 2.3×	16 0.4×	15	292

Countries citing papers authored by Deepan Lobo

Since Specialization

Citations

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

Fields of papers citing papers by Deepan Lobo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepan Lobo

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

All Works

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13 of 13 papers shown

Abichandani, Pramod, et al.. (2023). Distributed Motion Planning for Multiple Quadrotors in Presence of Wind Gusts. Drones. 7(1). 58–58. 7 indexed citations

Abichandani, Pramod, et al.. (2023). Artificial intelligence and computer vision education: Codifying student learning gains and attitudes. Computers and Education Artificial Intelligence. 5. 100159–100159. 16 indexed citations

Lobo, Deepan, et al.. (2022). Event-Based Motion Capture System for Online Multi-Quadrotor Localization and Tracking. Sensors. 22(9). 3240–3240. 13 indexed citations

Abichandani, Pramod, Deepan Lobo, & Prateek Shekhar. (2022). An Introductory Internet of Things Curriculum for Grades 9-12 Computer Science Classes. 2022 IEEE Frontiers in Education Conference (FIE). 1–6. 3 indexed citations

Abichandani, Pramod, et al.. (2022). Competition-based active learning instruction for drone education. Interactive Learning Environments. 1–19. 8 indexed citations

Abichandani, Pramod, et al.. (2022). Internet-of-Things Curriculum, Pedagogy, and Assessment for STEM Education: A Review of Literature. IEEE Access. 10. 38351–38369. 36 indexed citations

Lobo, Deepan, et al.. (2021). Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots. IEEE Access. 9. 166588–166602. 24 indexed citations

Lobo, Deepan, et al.. (2021). Preparing Students for Drone Careers Using Active Learning Instruction. IEEE Access. 9. 126216–126230. 9 indexed citations

Abichandani, Pramod, et al.. (2021). MATLABArduino.org: An Open-Source Website and YouTube channel for Embedded Systems Education. 2021 IEEE Frontiers in Education Conference (FIE). 1–8. 1 indexed citations

10.

Abichandani, Pramod, et al.. (2021). Implementation of Decentralized Reinforcement Learning-Based Multi-Quadrotor Flocking. IEEE Access. 9. 132491–132507. 11 indexed citations

11.

Abichandani, Pramod, et al.. (2020). Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles. IEEE Access. 8. 54910–54927. 80 indexed citations

12.

Abichandani, Pramod, et al.. (2020). Secure Communication for Multiquadrotor Networks Using Ethereum Blockchain. IEEE Internet of Things Journal. 8(3). 1783–1796. 21 indexed citations

13.

Abichandani, Pramod, et al.. (2019). Solar Energy Education Through a Cloud-Based Desktop Virtual Reality System. IEEE Access. 7. 147081–147093. 26 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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